Starting at $175.00

model and forecast time series using machine learning

cacab
cacab
0 order in queue

1 week for delivery

N/A
( 0 reviews )
Contact seller

Actions

Complete analysis and prediction of Time series in my python pipeline:

The offer includes:

  • Google Colab Notebook (web-app, doesn't require to install any software) containing the full python pipeline that reads data, generate the predictions, export the output
  • Documentation including theory behind each graph & decision taken provided directly in the notebook.
  • Replicability/Scalability: Analysis completely replicable by just changing input data
  • Methodologies: Machine Learning


The analysis consists of: 

  1. Time Series model fitting: Fit a TS model to apply to past/future data
  2. TS Decomposition into trend, Seasonal (yearly/weekly/daily/holidays) & Error components
  3. Anomaly Detection: Identify anomalies in the past and corresponding importance
  4. TS Predictions: Predictions for future data, along with corresponding Interval of Confidence
  5. Diagnostics of predictions: Accuracy measures and errors of predictions (MAE, MSE, MAPE, etc)


You may also like

You may also like the following gigs